TY - JOUR
T1 - Applications of artificial intelligence-enabled robots and chatbots in ophthalmology
T2 - recent advances and future trends
AU - Madadi, Yeganeh
AU - Delsoz, Mohammad
AU - Khouri, Albert S.
AU - Boland, Michael
AU - Grzybowski, Andrzej
AU - Yousefi, Siamak
N1 - Publisher Copyright:
© 2024 Lippincott Williams and Wilkins. All rights reserved.
PY - 2024/5/1
Y1 - 2024/5/1
N2 - Purpose of reviewRecent advances in artificial intelligence (AI), robotics, and chatbots have brought these technologies to the forefront of medicine, particularly ophthalmology. These technologies have been applied in diagnosis, prognosis, surgical operations, and patient-specific care in ophthalmology. It is thus both timely and pertinent to assess the existing landscape, recent advances, and trajectory of trends of AI, AI-enabled robots, and chatbots in ophthalmology.Recent findingsSome recent developments have integrated AI enabled robotics with diagnosis, and surgical procedures in ophthalmology. More recently, large language models (LLMs) like ChatGPT have shown promise in augmenting research capabilities and diagnosing ophthalmic diseases. These developments may portend a new era of doctor-patient-machine collaboration.SummaryOphthalmology is undergoing a revolutionary change in research, clinical practice, and surgical interventions. Ophthalmic AI-enabled robotics and chatbot technologies based on LLMs are converging to create a new era of digital ophthalmology. Collectively, these developments portend a future in which conventional ophthalmic knowledge will be seamlessly integrated with AI to improve the patient experience and enhance therapeutic outcomes.
AB - Purpose of reviewRecent advances in artificial intelligence (AI), robotics, and chatbots have brought these technologies to the forefront of medicine, particularly ophthalmology. These technologies have been applied in diagnosis, prognosis, surgical operations, and patient-specific care in ophthalmology. It is thus both timely and pertinent to assess the existing landscape, recent advances, and trajectory of trends of AI, AI-enabled robots, and chatbots in ophthalmology.Recent findingsSome recent developments have integrated AI enabled robotics with diagnosis, and surgical procedures in ophthalmology. More recently, large language models (LLMs) like ChatGPT have shown promise in augmenting research capabilities and diagnosing ophthalmic diseases. These developments may portend a new era of doctor-patient-machine collaboration.SummaryOphthalmology is undergoing a revolutionary change in research, clinical practice, and surgical interventions. Ophthalmic AI-enabled robotics and chatbot technologies based on LLMs are converging to create a new era of digital ophthalmology. Collectively, these developments portend a future in which conventional ophthalmic knowledge will be seamlessly integrated with AI to improve the patient experience and enhance therapeutic outcomes.
KW - artificial intelligence
KW - chatbot
KW - large language model
KW - ophthalmology
KW - robot
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U2 - 10.1097/ICU.0000000000001035
DO - 10.1097/ICU.0000000000001035
M3 - Review article
C2 - 38277274
AN - SCOPUS:85188689046
SN - 1040-8738
VL - 35
SP - 238
EP - 243
JO - Current opinion in ophthalmology
JF - Current opinion in ophthalmology
IS - 3
ER -